Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Natural language processing applied to mental illness detection: a narrative review
Tianlin Zhang, Annika Marie Schoene, Shaoxiong Ji, et al.
npj Digital Medicine (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 254

Showing 1-25 of 254 citing articles:

Do AI chatbots improve students learning outcomes? Evidence from a meta‐analysis
Rong Wu, Zhonggen Yu
British Journal of Educational Technology (2023) Vol. 55, Iss. 1, pp. 10-33
Closed Access | Times Cited: 161
The now and future of ChatGPT and GPT in psychiatry
Szu‐Wei Cheng, Chung‐Wen Chang, Wan‐Jung Chang, et al.
Psychiatry and Clinical Neurosciences (2023) Vol. 77, Iss. 11, pp. 592-596
Open Access | Times Cited: 104
Natural Language Processing for Smart Healthcare
Binggui Zhou, Guanghua Yang, Zheng Shi, et al.
IEEE Reviews in Biomedical Engineering (2022) Vol. 17, pp. 4-18
Open Access | Times Cited: 103
Enhancing mental health with Artificial Intelligence: Current trends and future prospects
David B. Olawade, Ojima Z. Wada, Aderonke Odetayo, et al.
Journal of Medicine Surgery and Public Health (2024) Vol. 3, pp. 100099-100099
Open Access | Times Cited: 72
Exploring the frontiers of deep learning and natural language processing: A comprehensive overview of key challenges and emerging trends
Wahab Khan, Ali Daud, Khalil Khan, et al.
Natural Language Processing Journal (2023) Vol. 4, pp. 100026-100026
Open Access | Times Cited: 69
Artificial Intelligence and Machine Learning Based Intervention in Medical Infrastructure: A Review and Future Trends
Kamlesh Kumar, Prince Kumar, Dipankar Deb, et al.
Healthcare (2023) Vol. 11, Iss. 2, pp. 207-207
Open Access | Times Cited: 56
Towards Interpretable Mental Health Analysis with Large Language Models
Kailai Yang, Shaoxiong Ji, Tianlin Zhang, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 47
Generative Pre-Trained Transformer-Empowered Healthcare Conversations: Current Trends, Challenges, and Future Directions in Large Language Model-Enabled Medical Chatbots
James C. L. Chow, Valerie Wong, Kay Li
BioMedInformatics (2024) Vol. 4, Iss. 1, pp. 837-852
Open Access | Times Cited: 24
Machine Learning for Multimodal Mental Health Detection: A Systematic Review of Passive Sensing Approaches
Lin Sze Khoo, Mei Kuan Lim, Chun Yong Chong, et al.
Sensors (2024) Vol. 24, Iss. 2, pp. 348-348
Open Access | Times Cited: 21
The Role of Artificial Intelligence in Identifying Depression and Anxiety: A Comprehensive Literature Review
Fabeha Zafar, Laraib Fakhare Alam, Rafael R Vivas, et al.
Cureus (2024)
Open Access | Times Cited: 15
Framework for detecting, assessing and mitigating mental health issue in the context of online social networks: a viewpoint paper
Polina Roggendorf, А А Волков
International Journal of Health Governance (2025)
Closed Access | Times Cited: 1
A mental state Knowledge–aware and Contrastive Network for early stress and depression detection on social media
Kailai Yang, Tianlin Zhang, Sophia Ananiadou
Information Processing & Management (2022) Vol. 59, Iss. 4, pp. 102961-102961
Open Access | Times Cited: 65
Emotion fusion for mental illness detection from social media: A survey
Tianlin Zhang, Kailai Yang, Shaoxiong Ji, et al.
Information Fusion (2022) Vol. 92, pp. 231-246
Open Access | Times Cited: 52
Large Language Models in Mental Health Care: A Systematic Scoping Review (Preprint)
Yining Hua, Fenglin Liu, Kailai Yang, et al.
(2024)
Closed Access | Times Cited: 10
Emotion detection for misinformation: A review
Zhiwei Liu, Tianlin Zhang, Kailai Yang, et al.
Information Fusion (2024) Vol. 107, pp. 102300-102300
Open Access | Times Cited: 9
Depression Detection from Social Media Text Analysis using Natural Language Processing Techniques and Hybrid Deep Learning Model
Vankayala Tejaswini, Korra Sathya Babu, Bibhudatta Sahoo
ACM Transactions on Asian and Low-Resource Language Information Processing (2022) Vol. 23, Iss. 1, pp. 1-20
Closed Access | Times Cited: 34
XAI Transformer based Approach for Interpreting Depressed and Suicidal User Behavior on Online Social Networks
Anshu Malhotra, Rajni Jindal
Cognitive Systems Research (2023) Vol. 84, pp. 101186-101186
Closed Access | Times Cited: 19
Transformer-based language models for mental health issues: A survey
Candida M. Greco, Andrea Simeri, Andrea Tagarelli, et al.
Pattern Recognition Letters (2023) Vol. 167, pp. 204-211
Closed Access | Times Cited: 17
Critical review of self‐diagnosis of mental health conditions using artificial intelligence
Supra Wimbarti, Bernabas H. R. Kairupan, Trina Ekawati Tallei
International Journal of Mental Health Nursing (2024) Vol. 33, Iss. 2, pp. 344-358
Closed Access | Times Cited: 7
The Role of Humanization and Robustness of Large Language Models in Conversational Artificial Intelligence for Individuals With Depression: A Critical Analysis
Andrea Ferrario, Jana Sedláková, Manuel Trachsel
JMIR Mental Health (2024) Vol. 11, pp. e56569-e56569
Open Access | Times Cited: 7
Multimodal Technologies for Remote Assessment of Neurological and Mental Health
Vikram Ramanarayanan
Journal of Speech Language and Hearing Research (2024) Vol. 67, Iss. 11, pp. 4233-4245
Closed Access | Times Cited: 7
Detecting mental and physical disorders using multi-task learning equipped with knowledge graph attention network
Weidong Zhang, Ling Kong, Soobin Lee, et al.
Artificial Intelligence in Medicine (2024) Vol. 149, pp. 102812-102812
Closed Access | Times Cited: 6
An Ensemble Approach to Question Classification: Integrating Electra Transformer, GloVe, and LSTM
Sanad Aburass, Osama Dorgham, Maha Abu Rumman
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 5
Investigating machine learning and natural language processing techniques applied for detecting eating disorders: a systematic literature review
Ghofrane Merhbene, Alexandre Puttick, Mascha Kurpicz-Briki
Frontiers in Psychiatry (2024) Vol. 15
Open Access | Times Cited: 5
Diagnostic accuracy of large language models in psychiatry
Omid Kohandel Gargari, Farhad Fatehi, Ida Mohammadi, et al.
Asian Journal of Psychiatry (2024) Vol. 100, pp. 104168-104168
Closed Access | Times Cited: 5
Page 1 - Next Page

Scroll to top